i-RevNet: Deep Invertible Networks

20 February 2018

Papers citing "i-RevNet: Deep Invertible Networks"

50 / 208 papers shown

Title
Invertible DNN-based nonlinear time-frequency transform for speech enhancement Daiki Takeuchi Kohei Yatabe Yuma Koizumi Yasuhiro Oikawa N. Harada 20 10 0 25 Nov 2019
On the Relationship between Self-Attention and Convolutional Layers Jean-Baptiste Cordonnier Andreas Loukas Martin Jaggi 17 520 0 08 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li Saminul Haque Cem Anil James Lucas Roger C. Grosse Joern-Henrik Jacobsen 17 112 0 03 Nov 2019
CrevNet: Conditionally Reversible Video Prediction Wei Yu Y. Lu S. Easterbrook Sanja Fidler 17 19 0 25 Oct 2019
Reversible designs for extreme memory cost reduction of CNN training T. Hascoet Q. Febvre Y. Ariki T. Takiguchi 3DV 6 2 0 24 Oct 2019
Markov Random Fields for Collaborative Filtering Harald Steck 27 26 0 21 Oct 2019
Decision Explanation and Feature Importance for Invertible Networks Juntang Zhuang Nicha Dvornek Xiaoxiao Li Junlin Yang James S. Duncan AAML FAtt 15 5 0 30 Sep 2019
One-to-one Mapping for Unpaired Image-to-image Translation ZENGMING SHEN S.Kevin Zhou Yifan Chen Bogdan Georgescu Xuqi Liu Thomas S. Huang GAN 14 21 0 09 Sep 2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation ZENGMING SHEN Yifan Chen S. Kevin Zhou Bogdan Georgescu Xuqi Liu Thomas S. Huang SSL MedIm 13 1 0 09 Sep 2019
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks Rainer Kelz Gerhard Widmer 16 15 0 04 Sep 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 11 57 0 25 Aug 2019
Latent Space Factorisation and Manipulation via Matrix Subspace Projection Xiao Li Chenghua Lin Ruizhe Li Chaozheng Wang Frank Guerin 18 29 0 26 Jul 2019
Invertible Network for Classification and Biomarker Selection for ASD Juntang Zhuang Nicha Dvornek Xiaoxiao Li P. Ventola James S. Duncan 13 20 0 23 Jul 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions Yang Song Chenlin Meng Stefano Ermon 14 66 0 18 Jul 2019
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 11 294 0 04 Jul 2019
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation Robin Brügger Christian F. Baumgartner E. Konukoglu SSeg 14 74 0 14 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 22 39 0 11 Jun 2019
Mimic and Fool: A Task Agnostic Adversarial Attack Akshay Chaturvedi Utpal Garain AAML 11 26 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 11 0 0 10 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 13 866 0 04 Jun 2019
Understanding the Limitations of Conditional Generative Models Ethan Fetaya J. Jacobsen Will Grathwohl R. Zemel 13 53 0 04 Jun 2019
Adversarial Robustness as a Prior for Learned Representations Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Brandon Tran A. Madry OOD AAML 16 63 0 03 Jun 2019
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation Ziv Goldfeld Kristjan Greenewald Yury Polyanskiy Jonathan Niles-Weed 21 64 0 30 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Lowe Peter O'Connor Bastiaan S. Veeling SSL 6 143 0 28 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 15 145 0 28 May 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 12 1 0 27 May 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 13 45 0 25 May 2019
Fully Hyperbolic Convolutional Neural Networks Keegan Lensink B. Peters E. Haber MedIm 29 18 0 24 May 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 14 198 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 13 27 0 24 May 2019
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA Luigi Gresele Paul Kishan Rubenstein Arash Mehrjou Francesco Locatello Bernhard Schölkopf 6 95 0 16 May 2019
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images Ivan Kreso Josip Krapac Sinisa Segvic SSeg 20 53 0 14 May 2019
3D Packing for Self-Supervised Monocular Depth Estimation Vitor Campagnolo Guizilini Rares Ambrus Sudeep Pillai Allan Raventos Adrien Gaidon SSL 3DPC MDE 11 636 0 06 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 20 1,354 0 01 May 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 17 99 0 24 Apr 2019
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness J. Jacobsen Jens Behrmann Nicholas Carlini Florian Tramèr Nicolas Papernot AAML 22 46 0 25 Mar 2019
Approximating exponential family models (not single distributions) with a two-network architecture Sean R. Bittner John P. Cunningham 6 4 0 18 Mar 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 17 60 0 22 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 20 99 0 07 Feb 2019
Reversible GANs for Memory-efficient Image-to-Image Translation Tycho F. A. van der Ouderaa Daniel E. Worrall 11 54 0 07 Feb 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 28 715 0 25 Jan 2019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction Shuyang Sun Jiangmiao Pang Jianping Shi Shuai Yi Wanli Ouyang 11 100 0 11 Jan 2019
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 9 180 0 29 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 17 120 0 10 Dec 2018
A Differential Topological View of Challenges in Learning with Feedforward Neural Networks Hao Shen AAML AI4CE 12 6 0 26 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen D. Duvenaud J. Jacobsen UQCV TPM 20 617 0 02 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 20 166 0 01 Nov 2018
Estimating Differential Entropy under Gaussian Convolutions Ziv Goldfeld Kristjan Greenewald Yury Polyanskiy 17 11 0 27 Oct 2018
Understanding Deep Convolutional Networks through Gestalt Theory A. Amanatiadis Vasileios G. Kaburlasos Elias B. Kosmatopoulos FAtt 16 16 0 19 Oct 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections Junxian He Graham Neubig Taylor Berg-Kirkpatrick BDL 26 41 0 28 Aug 2018